Mapping Manuscript Migrations Knowledge Graph: Data for Tracing the History and Provenance of Medieval and Renaissance Manuscripts

• Main Authors: Toby Burrows, Doug Emery, Mitch Fraas, Eero Hyvönen, Esko Ikkala, Mikko Koho, David Lewis, Andrew Morrison, Kevin Page, Lynn Ransom, Emma Thomson, Jouni Tuominen, Athanasios Velios, Hanno Wijsman
• Format: Article
• Language: English
• Published: Ubiquity Press 2020-06-01
• Series: Journal of Open Humanities Data
• Subjects: medieval manuscripts; renaissance manuscripts; cidoc-crm; frbr; provenance; knowledge graphs
• Online Access: https://openhumanitiesdata.metajnl.com/articles/14

The Mapping Manuscript Migrations (MMM) project transformed three separate datasets relating to the history and provenance of medieval and Renaissance manuscripts into a unified knowledge graph. The source databases are: Schoenberg Database of Manuscripts, from the Schoenberg Institute for Manuscript Studies, University of Pennsylvania; Bibale, from the Institut de recherche et d’histoire des textes (IRHT-CNRS, Paris); and Medieval Manuscripts in Oxford Libraries, from the Bodleian Libraries, University of Oxford. The data consist of more than 20 million RDF triples which have been mapped to the MMM Data Model. The model combines classes and properties from CIDOC-CRM and FRBR, together with some specific MMM elements. The Knowledge Graph was created using the MMM data transformation pipeline. The MMM dataset is available from the Zenodo repository, and can be directly deployed on a SPARQL endpoint using a docker recipe. To test and demonstrate its usefulness, the MMM Knowledge Graph is in use in the MMM Semantic Portal: https://mappingmanuscriptmigrations.org.